دورية أكاديمية
Ice floe segmentation and floe size distribution in airborne and high-resolution optical satellite images: towards an automated labelling deep learning approach
| العنوان: | Ice floe segmentation and floe size distribution in airborne and high-resolution optical satellite images: towards an automated labelling deep learning approach |
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| المؤلفون: | Q. Zhang, N. Hughes |
| المصدر: | The Cryosphere, Vol 17, Pp 5519-5537 (2023) |
| بيانات النشر: | Copernicus Publications, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Environmental sciences LCC:Geology |
| مصطلحات موضوعية: | Environmental sciences, GE1-350, Geology, QE1-996.5 |
| الوصف: | Floe size distribution (FSD) has become a parameter of great interest in observations of sea ice because of its importance in affecting climate change, marine ecosystems, and human activities in the polar ocean. A most effective way to monitor FSD in the ice-covered regions is to apply image processing techniques to airborne and satellite remote sensing data, where the segmentation of individual ice floes is a challenge in obtaining FSD from remotely sensed images. In this study, we adopt a deep learning (DL) semantic segmentation network to fast and adaptive implement the task of ice floe instance segmentation. In order to alleviate the costly and time-consuming data annotation problem of model training, classical image processing technique is applied to automatically label ice floes in local-scale marginal ice zone (MIZ). Several state-of-the-art (SoA) semantic segmentation models are then trained on the labelled MIZ dataset and further applied to additional large-scale optical Sentinel-2 images to evaluate their performance in floe instance segmentation and to determine the best model. A post-processing algorithm is also proposed in our work to refine the segmentation. Our approach has been applied to both airborne and high-resolution optical (HRO) satellite images to derive acceptable FSDs at local and global scales. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1994-0416 1994-0424 |
| Relation: | https://tc.copernicus.org/articles/17/5519/2023/tc-17-5519-2023.pdf; https://doaj.org/toc/1994-0416; https://doaj.org/toc/1994-0424 |
| DOI: | 10.5194/tc-17-5519-2023 |
| URL الوصول: | https://doaj.org/article/8be4a25ddfb24045be70ed5e1704a829 |
| رقم الأكسشن: | edsdoj.8be4a25ddfb24045be70ed5e1704a829 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19940416 19940424 |
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| DOI: | 10.5194/tc-17-5519-2023 |